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BetMon

Delivering better fitness estimators for wildlife ecology and management and effective monitoring

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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Project "BetMon" data sheet

The following table provides information about the project.

Coordinator
THE UNIVERSITY COURT OF THE UNIVERSITY OF ABERDEEN 

Organization address
address: KING'S COLLEGE REGENT WALK
city: ABERDEEN
postcode: AB24 3FX
website: http://www.abdn.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Project website http://www.abdn.ac.uk
 Total cost 183˙454 €
 EC max contribution 183˙454 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2014
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2015
 Duration (year-month-day) from 2015-05-14   to  2017-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE UNIVERSITY COURT OF THE UNIVERSITY OF ABERDEEN UK (ABERDEEN) coordinator 183˙454.00

Map

 Project objective

Fitness is a key concept in basic and applied ecology, and its traits are used to assess habitat quality and derive scientific knowledge used to design and implement management and conservation measures. Assessing fitness requires considering several traits and trade-offs, and long-term data sets with individual identification that are rarely available. As a result fitness proxies such as offspring production are often used as substitute but these do not consider variation in offspring survival and lifespan, which accounts for most variation in fitness is in long-lived species, like many endangered vertebrates. Many studies, and decisions supported by them, involve unknown biases as consequence of the knowledge gap in the relationship between fitness and: the reliability of each proxy; trade-offs among different proxies; and among proxy/monitoring-effort combinations. This fellowship has secured access to several high-quality, long-term wildlife monitoring data sets to gain insights in: the trade-offs and factors affecting individual fitness; the reliability of commonly used fitness proxies; and the assessment of bias and accuracy of short- medium-term monitoring programs focusing on different proxies. While working in leading European research groups and gaining excellent training ecological concepts and theory and up-to-date analytical frameworks and methods, the fellow will : (1) provide high quality ecological knowledge on factors determinant of individual fitness and their trade-offs, and on factors explaining offspring recruitment; (2) assess of the reliability of commonly used fitness proxies; and (3) develop best practice and improvements for short-term monitoring protocols used in research, and management and conservation science.

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The information about "BETMON" are provided by the European Opendata Portal: CORDIS opendata.

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